{"title":"Rock Joints Detection from 3D Point Clouds Based on Color Space","authors":"Yunfeng Ge, Bei Cao, Qianwang Chen, Yu Wang","doi":"10.1144/qjegh2023-012","DOIUrl":null,"url":null,"abstract":"\n To facilitate the automation accuracy of rock joint mapping, a new method based on color space was proposed for the semi-automatic identification and orientation calculation of rock joints. The developed method in this study comprises four-step: (1) the point color space and point curvature were calculated based on the point normal and xyz-coordinates respectively; (2) the rock joint sets were identified from point clouds based on the difference in point color space and point curvature; (3) each single rock joint was extracted from the aforementioned joint sets using a density-based spatial clustering of applications with noise (DBSCAN); and (4) the orientation was determined according to the point normals of the fitting planes of the points on each detected rock joint. A dodecahedron was used to demonstrate the procedures of rock joint detection and orientation calculation, and two outcrop cases were selected to further verify the effectiveness of the proposed method. The results of all cases indicate that the orientation difference between manual measurement and the proposed method was less than 2°. The codes that support the findings of this study are publicly shared on GitHub (\n https://github.com/DisDet/DisDetCIELAB\n ).\n","PeriodicalId":20937,"journal":{"name":"Quarterly Journal of Engineering Geology and Hydrogeology","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quarterly Journal of Engineering Geology and Hydrogeology","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1144/qjegh2023-012","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
引用次数: 1
Abstract
To facilitate the automation accuracy of rock joint mapping, a new method based on color space was proposed for the semi-automatic identification and orientation calculation of rock joints. The developed method in this study comprises four-step: (1) the point color space and point curvature were calculated based on the point normal and xyz-coordinates respectively; (2) the rock joint sets were identified from point clouds based on the difference in point color space and point curvature; (3) each single rock joint was extracted from the aforementioned joint sets using a density-based spatial clustering of applications with noise (DBSCAN); and (4) the orientation was determined according to the point normals of the fitting planes of the points on each detected rock joint. A dodecahedron was used to demonstrate the procedures of rock joint detection and orientation calculation, and two outcrop cases were selected to further verify the effectiveness of the proposed method. The results of all cases indicate that the orientation difference between manual measurement and the proposed method was less than 2°. The codes that support the findings of this study are publicly shared on GitHub (
https://github.com/DisDet/DisDetCIELAB
).
期刊介绍:
Quarterly Journal of Engineering Geology and Hydrogeology is owned by the Geological Society of London and published by the Geological Society Publishing House.
Quarterly Journal of Engineering Geology & Hydrogeology (QJEGH) is an established peer reviewed international journal featuring papers on geology as applied to civil engineering mining practice and water resources. Papers are invited from, and about, all areas of the world on engineering geology and hydrogeology topics. This includes but is not limited to: applied geophysics, engineering geomorphology, environmental geology, hydrogeology, groundwater quality, ground source heat, contaminated land, waste management, land use planning, geotechnics, rock mechanics, geomaterials and geological hazards.
The journal publishes the prestigious Glossop and Ineson lectures, research papers, case studies, review articles, technical notes, photographic features, thematic sets, discussion papers, editorial opinion and book reviews.